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Volumn 85, Issue 3, 1998, Pages 727-740

Tests for white noise against alternatives with both seasonal and nonseasonal serial correlation

Author keywords

Autoregressive moving average model; Consistent test; Lagrange multiplier test; Likelihood ratio test; Multiplicative seasonal arma model; Nonstandard testing problem; Seasonal serial correlation; seasonality; Test of white noise

Indexed keywords


EID: 0037713852     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/85.3.727     Document Type: Article
Times cited : (10)

References (15)
  • 1
    • 0000209591 scopus 로고
    • Optimal tests when a nuisance parameter is present only under the alternative
    • ANDREWS, D. W. K. & PLOBERGER, W. (1994). Optimal tests when a nuisance parameter is present only under the alternative. Econometrica 62, 1383-414.
    • (1994) Econometrica , vol.62 , pp. 1383-1414
    • Andrews, D.W.K.1    Ploberger, W.2
  • 2
    • 21344442983 scopus 로고
    • Admissibility of the likelihood ratio test when a nuisance parameter is present only under the alternative
    • ANDREWS, D. W. K. & PLOBERGER, W. (1995). Admissibility of the likelihood ratio test when a nuisance parameter is present only under the alternative. Ann. Statist. 23, 1609-29.
    • (1995) Ann. Statist. , vol.23 , pp. 1609-1629
    • Andrews, D.W.K.1    Ploberger, W.2
  • 3
    • 0030336512 scopus 로고    scopus 로고
    • Testing for serial correlation against an ARMA(1,1) process
    • ANDREWS, D. W. K. & PLOBERGER, W. (1996). Testing for serial correlation against an ARMA(1,1) process. J. Am. Statist. Assoc. 91, 1331-42.
    • (1996) J. Am. Statist. Assoc. , vol.91 , pp. 1331-1342
    • Andrews, D.W.K.1    Ploberger, W.2
  • 4
    • 84945595789 scopus 로고
    • Distribution of residual autocorrelation in autoregressive-integrated moving average time series models
    • Box, G. E. P. & PIERCE, D. A. (1970). Distribution of residual autocorrelation in autoregressive-integrated moving average time series models. J. Am. Statist. Assoc. 65, 1509-26.
    • (1970) J. Am. Statist. Assoc. , vol.65 , pp. 1509-1526
    • Box, G.E.P.1    Pierce, D.A.2
  • 5
    • 0017755296 scopus 로고
    • Hypothesis testing when a nuisance parameter is present only under the alternative
    • DAVIES, R. B. (1977). Hypothesis testing when a nuisance parameter is present only under the alternative. Biometrika 64, 247-54.
    • (1977) Biometrika , vol.64 , pp. 247-254
    • Davies, R.B.1
  • 6
    • 24944532669 scopus 로고
    • Hypothesis testing when a nuisance parameter is present only under the alternative
    • DAVIES, R. B. (1987). Hypothesis testing when a nuisance parameter is present only under the alternative. Biometrika 74, 33-43.
    • (1987) Biometrika , vol.74 , pp. 33-43
    • Davies, R.B.1
  • 7
    • 78650014134 scopus 로고
    • Testing for serial correlation in least squares regression, i
    • DURBIN, J. & WATSON, G. S. (1950). Testing for serial correlation in least squares regression, I. Biometrika 37, 409-28.
    • (1950) Biometrika , vol.37 , pp. 409-428
    • Durbin, J.1    Watson, G.S.2
  • 8
    • 0345104394 scopus 로고
    • Testing for autocorrelation and Akaike's criterion
    • Ed. J. Gani and E. J. Hannan, Sheffield: Applied Probability Trust.
    • HANNAN, E. J. (1982). Testing for autocorrelation and Akaike's criterion. In Essays in Statistical Science, Ed. J. Gani and E. J. Hannan, pp. 403-12. Sheffield: Applied Probability Trust.
    • (1982) In Essays in Statistical Science , pp. 403-412
    • Hannan, E.J.1
  • 9
    • 0030373966 scopus 로고    scopus 로고
    • Inference when a nuisance parameter is not identified under the null hypothesis
    • HANSEN, B. E. (1996). Inference when a nuisance parameter is not identified under the null hypothesis. Econometrica 64, 413-30.
    • (1996) Econometrica , vol.64 , pp. 413-430
    • Hansen, B.E.1
  • 10
    • 0000052574 scopus 로고
    • A functional central limit theorem for weakly dependent sequences of random variables
    • HERRNDORF, N. (1984). A functional central limit theorem for weakly dependent sequences of random variables. Ann. Prob. 12, 141-53.
    • (1984) Ann. Prob. , vol.12 , pp. 141-153
    • Herrndorf, N.1
  • 11
    • 38249022602 scopus 로고
    • Testing for fourth-order autocorrelation in regression disturbances when first-order autocorrelation is present
    • KING, M. L. (1989). Testing for fourth-order autocorrelation in regression disturbances when first-order autocorrelation is present. J. Economet. 41, 285-301.
    • (1989) J. Economet. , vol.41 , pp. 285-301
    • King, M.L.1
  • 12
    • 4243827200 scopus 로고
    • Empirical Processes: Theory and Applications, CBMS Conference Series in Probability and Statistics, 2
    • POLLARD, D. (1990). Empirical Processes: Theory and Applications, CBMS Conference Series in Probability and Statistics, 2. Hayward, CA: Institute of Mathematical Statistics.
    • (1990) Hayward, CA: Institute of Mathematical Statistics.
    • Pollard, D.1
  • 13
    • 84981441523 scopus 로고
    • Estimation of autoregressive moving-average order given an infinite number of models and approximation of spectral densities
    • PöTSCHER, B. M. (1990). Estimation of autoregressive moving-average order given an infinite number of models and approximation of spectral densities. J. Time Ser. Anal. 11, 165-79.
    • (1990) J. Time Ser. Anal. , vol.11 , pp. 165-179
    • Pötscher, B.M.1
  • 14
    • 84925623234 scopus 로고
    • Tests of statistical hypotheses concerning several parameters when the number of observations is large
    • WALD, A. (1943). Tests of statistical hypotheses concerning several parameters when the number of observations is large. Trans. Am. Math. Soc. 54, 426-82.
    • (1943) Trans. Am. Math. Soc. , vol.54 , pp. 426-482
    • Wald, A.1
  • 15
    • 0001722762 scopus 로고
    • Testing for fourth order autocorrelation in quarterly regression equations
    • WALLIS, K. F. (1972). Testing for fourth order autocorrelation in quarterly regression equations. Econometrica 40, 617-36.
    • (1972) Econometrica , vol.40 , pp. 617-636
    • Wallis, K.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.